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We present an improvement of the classical marker-controlled watershed approach in the direction of a better exploitation of user-defined markers. The combined action of a partial flooding and paint drops falling downwards on the gray value relief from marker locations, leads to a robust and meaningful identification of the candidate basins, which is a prerequisite for an accurate segmentation. This...
High Dynamic Range (HDR) images can represent the acquired scene with a greater dynamic range of luminance than classical Low Dynamic Range (LDR) ones. Despite the recent diffusion of some HDR camera models, HDR displays are not yet in the market. For this reason HDR images need to be adapted in order to be properly rendered through conventional devices. This operation mainly consists in a dynamic...
In this work we propose a visualization and access method for exploring a database of raw video material, where the span of information stored can be huge and difficult to understand at a glance. Developed visual mining tool presents the overview of the hierarchically structured repository in a intuitive way and provides interactive navigational support for the user. Browsing through the un-annotated...
Effective encoding and indexing of audiovisual documents are two key aspects for enhancing the multimedia user experience. In this paper we propose the embedding of low-level content descriptors into a scalable video-coding bit-stream by jointly optimizing encoding and indexing performance. This approach provides a new type of bit-stream where part of the information is used for both content encoding...
With the increasing popularity of repositories of personal images, the problem of effective encoding and retrieval of similar image collections has become very important. In this paper we propose an efficient method for the joint scalable encoding of image-data and visual-descriptors, applied to collections of similar images. From the generated compressed bit stream, it is possible to extract and...
In this paper we propose a method to retrieve video stories from a database. Given a sample story unit, i.e., a series of contiguous and semantically related shots, the most similar clips are retrieved and ranked. Similarity is evaluated on the story structures, and it depends on the number of expressed visual concepts and the pattern in which they appear inside the story. Hidden Markov models are...
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